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Unmanned System Design with Emphasis on Fire Recognition

机译:着重火灾识别的无人系统设计

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摘要

Governments around the world are beginning to recognize the value of unmannedrnmachines both in industry and in warfare. Heightened interest in this field has spawnedrnrobot competitions such as FIRST, TAVIS, MicroMouse and others. This paper describesrnthe University of Central Florida's entry to the AUVSI Aerial Robotics Competition Wernpresent a novel four-engine air vehicle design that uses no control surfaces. Based on thernHiller Flying Platform [1] and the DragonflyerTM [2], this ducted vehicle varies its enginernspeeds to affect pitch, roll, yaw, and overall thrust The ground vehicle mechanical designrnis documented in section 3, including finite element models of two key parts. The focusrnof this paper is automatic fire detection in video images. Our system uses color andrnmotion information gained from video sequences to locate fire. Unlike previous methods,rnour algorithm is insensitive to camera motion.
机译:全世界的政府都开始认识到无人机器在工业和战争中的价值。在该领域的兴趣日益浓厚,催生了机器人竞赛,例如FIRST,TAVIS,MicroMouse等。本文介绍了佛罗里达州中部大学参加AUVSI空中机器人大赛的机会,该比赛代表了一种新颖的四引擎飞行器设计,该设计不使用控制面。该管道运输车基于theHiller飞行平台[1]和DragonflyerTM [2],改变其发动机转速以影响俯仰,侧倾,偏航和总推力。第3节中记录了地面车辆的机械设计,包括两个关键零件的有限元模型。本文的重点是视频图像中的自动火灾探测。我们的系统使用从视频序列中获得的颜色和运动信息来定位火源。与以前的方法不同,rnour算法对相机运动不敏感。

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